A review on prognostic techniques for non-stationary and non-linear rotating systems
MS Kan, ACC Tan, J Mathew - Mechanical Systems and Signal Processing, 2015 - Elsevier
The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …
A survey on industrial applications of fuzzy control
Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …
and successful results. Originally introduced as model-free control design approach, model …
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …
A survey on analysis and design of model-based fuzzy control systems
G Feng - IEEE Transactions on Fuzzy systems, 2006 - ieeexplore.ieee.org
Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …
[LIVRE][B] Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models
Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …
knowledge of state variables and time-varying parameters that are not directly measured by …
[LIVRE][B] Cluster analysis for data mining and system identification
J Abonyi, B Feil - 2007 - books.google.com
Dataclusteringisacommontechniqueforstatis…, whichisusedin many? elds, including
machine learning, data mining, pattern recognition, image analysis and bioinformatics …
machine learning, data mining, pattern recognition, image analysis and bioinformatics …
Perspectives of fuzzy systems and control
Although fuzzy control was initially introduced as a model-free control design method based
on the knowledge of a human operator, current research is almost exclusively devoted to …
on the knowledge of a human operator, current research is almost exclusively devoted to …
Adaptive event-triggered fault detection for interval type-2 T–S fuzzy systems with sensor saturation
This article deals with the adaptive event-triggered (AET) fault detection filter (FDF) problem
for nonlinear-networked control systems with component and sensor faults, network-induced …
for nonlinear-networked control systems with component and sensor faults, network-induced …
Extended Kalman filter and Takagi-Sugeno fuzzy observer for a strip winding system
This paper proposes two nonlinear estimation approaches, namely based on Extended
Kalman Filter (EKF) and a Takagi-Sugeno Fuzzy Observer with 32 rules (TSFO-32), for a …
Kalman Filter (EKF) and a Takagi-Sugeno Fuzzy Observer with 32 rules (TSFO-32), for a …
Observers for Takagi-Sugeno fuzzy systems
We focus on the analysis and design of two different sliding mode observers for dynamic
Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple …
Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple …